Hong Meng1, Weixuan Lin1, Yinmao Dong1, Li Li1, Fan Yi1, Qingyang Meng2, Yue Li3, Yifan He1. 1. Beijing Key Lab of Plant Resource Research and Development, School of Science, Beijing Technology and Business University, Beijing 100048, China. 2. Shanghai Pechion Biological Technology Co., Ltd., Shanghai 20000, China. 3. Beijing International Studies University (BISU), Beijing 100048, China.
Abstract
BACKGROUND: Due to the increasing interest in human anti-aging, demand for a higher quality of life, and technological advancement, the development of anti-aging skincare has great market prospects. Most cosmetic companies develop products driven by the market or focus on the mechanism of action of substances and the behavior of skin; however, little research utilizes skin parameters and large data methodology to develop skincare products. OBJECTIVE: To instruct consumers to purchase skincare products and to guide skincare research toward the development of customer-targeted products. METHODS: A total of 815 Chinese subjects (83 male; 732 female) from five different cities were included. We measured 14 indices in each subject, including moisture, transepidermal water loss (TEWL), and sebum levels. We performed multiple regression analysis to understand the relationship between skin indices and aging; a novel approach is shown using the R software. RESULTS: The exact age at which changes in each skin index occurred could be demonstrated by this method of analysis: 39, 38, 48, 46, and 56 years old with respect to the L value, Melanin, Rt, Rm, and Rz, respectively. CONCLUSION: With the use of statistical analysis, consumers can be more efficiently targeted and choose suitable products considering particular skin parameter changing points; thus, skincare companies will not only meet customer requirements but also better control budgets.
BACKGROUND: Due to the increasing interest in human anti-aging, demand for a higher quality of life, and technological advancement, the development of anti-aging skincare has great market prospects. Most cosmetic companies develop products driven by the market or focus on the mechanism of action of substances and the behavior of skin; however, little research utilizes skin parameters and large data methodology to develop skincare products. OBJECTIVE: To instruct consumers to purchase skincare products and to guide skincare research toward the development of customer-targeted products. METHODS: A total of 815 Chinese subjects (83 male; 732 female) from five different cities were included. We measured 14 indices in each subject, including moisture, transepidermal water loss (TEWL), and sebum levels. We performed multiple regression analysis to understand the relationship between skin indices and aging; a novel approach is shown using the R software. RESULTS: The exact age at which changes in each skin index occurred could be demonstrated by this method of analysis: 39, 38, 48, 46, and 56 years old with respect to the L value, Melanin, Rt, Rm, and Rz, respectively. CONCLUSION: With the use of statistical analysis, consumers can be more efficiently targeted and choose suitable products considering particular skin parameter changing points; thus, skincare companies will not only meet customer requirements but also better control budgets.